Engineering Manager, Data Platform & AI Systems

Engineering Manager, Data Platform & AI Systems

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Spotify

At a Glance

  • Tasks: Lead a dynamic team in shaping data platform and AI systems at Spotify.
  • Company: Join Spotify, a leading music streaming service with a vibrant culture.
  • Benefits: Competitive salary, growth opportunities, and a focus on work-life balance.
  • Other info: Fast-paced environment with opportunities to innovate and grow across Europe.
  • Why this job: Make a real impact in the tech world while nurturing your team's potential.
  • Qualifications: Experience in engineering management and a passion for data-driven solutions.

The predicted salary is between 80000 - 100000 £ per year.

Spotify in London is seeking an Engineering Manager to lead a six-person engineering team focused on event delivery and privacy infrastructure.

You will set the technical direction, ensure high-impact delivery, and invest in your engineers' growth across Europe.

This role blends technical leadership with people management in a fast-moving data platform environment.

You’ll work with product partners to shape roadmaps, drive architectural decisions, and maintain high reliability.

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Engineering Manager, Data Platform & AI Systems employer: Spotify

At Spotify, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Product Manager for our design systems, you'll have the opportunity to shape the future of product development while working in a vibrant city like Stockholm, known for its creativity and tech-forward mindset. We offer flexible working arrangements, a commitment to employee growth through continuous learning, and a supportive environment where your contributions directly impact the user experience across our platform.

Spotify

Contact Details:

Spotify Recruitment Team

We think you need these skills to ace Engineering Manager, Data Platform & AI Systems

Communication Skills
Problem-Solving Skills
Python
SQL
Data Engineering
Attention to Detail
Data Pipeline Development